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HALMA SPIELEN FULL

So, location 0,0 is the top-left corner of the board location 15,0 of the top-right corner location 0,15 is the bottom-left corner, and location 15,15 the bottom-right corner. We will again use zero-based, horizontal-first, start at the top-left indexing in the board.

B for a grid cell occupied by a black pieceġ or more lines: There are two possible types of moves (Empty E, Jump J):Į FROM_X,FROM_Y TO_X,TO_Y – your agent moves one of your pieces from location FROM_X, FROM_Y to adjacent empty location TO_X, TO_Y.W for a grid cell occupied by a white piece.Next 16 lines: Description of the game board, with 16 lines of 16 symbols each:.Third line: A strictly positive floating point number indicating the amount of total play time remaining for the agent.Second line: A string BLACK or WHITE indicating which color the agent will play.

HALMA SPIELEN FULL

First line: A string SINGLE or GAME to let the AI know whether we are playing a single move (and can use all of the available time for it) of playing a full game with potentially many moves.

The program will auto-generate an "output.txt" file with the results inside the text file.

This was homework #2 of CSCI 561 - Fall 2019 - Foundations of Artificial Intelligence - under Professor Laurent Itti. Read this article for further details on Halma and its rules.Įssentially, our agent will evaluate the gameboard and output the best / optimal move by using Alpha Beta Pruning Minimax algorithm upto 3-ply. To win the game, a player needs to transfer all of their pieces from their starting corner to the opposite corner, into the positions that were initially occupied by the opponent. Each player starts with 19 game pieces clustered in diagonally opposite corners of the board.

The game uses a 16x16 checkered gameboard. A Python programmed AI will play the game of Halma, an adversarial game with some similarities to checkers.